# What is the difference? “Adding more LSTM layers” or “Increasing epochs”?

To get more accurate results which one is better? Adding more layers or increasing number of epochs? I like to know the difference between effects of these two approaches?

• I referred the learning rate which is initialized with the optimizer in the fit() method of your model. If you are using an RMSprop optimizer for your model then model.fit( optimizer=keras.optimizers.RMSprop( lr=0.0001 ) , loss='categorical_crossentropy' ) where lr= is the learning rate. – Shubham Panchal Feb 28 '19 at 12:11